Learn by Doing Some features of this activity may not work well on a cell phone or tablet. We highly recommend that you complete this activity on a computer. A list of GeoGebra directions is provided at the bottom of this text-box. Context The modern Olympic Games have changed dramatically since their inception in 1896. Are athletes getting better? We will use regression to investigate the change in winning times for one event-the men's 1,500 meter race. Variables Year: the year of the Olympic Games, from 1896 to 2000. Time: the winning time for the 1,500 meter race, in seconds. Since the winning time depends on the year, the Year since 1896 is the explanatory variable, and the Winning time is the response variable. Data Download the Olympics data file . for the men's 1,500 meter race. Then copy and paste the data into the GeoGebra Spreadsheet Prompt In the first two questions below, you will use GeoGebra to produce and examine the scatter plot for the Olympics data file. You will also use GeoGebra to find the regression equation and correlation coefficient. List of GeoGebra Directions to find the scatter plot, least square regression line, r or r, and use the equation to find a prediction value. Open the GeoGebra Spreadsheet . Open the Google Sheets Olympics data file. Copy and Paste the data from the Google Sheets into GeoGebra. Select the Data in GeoGebra. Click on the Histogram looking button on the top left of the page. Click on "Two Variable Regression Analysis." Your Scatter Plot should now be displayed. Under the Scatter Plot there is a pull down menu that you should select "Linear" and that will give you your equation. Copy the image by and means necessary and put it in appropriate place below. Video for GeoGebra E Intro to Stats STAT 1 A+ STAT 1- Introduction to Probability and Statistics Announcements Syllabus Learning Modules Discussion Topics Table of Contents Welcome to Fall 2020! This will be a very interesting semester, but I believe we will all get through it successfully! Question 1 5 pts These directions assume that you have uploaded the Olympics data file in GeoGebra. If not, please see the Data section above. a. Using the year since 1896 as the explanatory variable and the winning time as the response variable: graph the scatter plot with the regression line and produce the regression equation with the correlation coefficient - all at the same time b. Notice that the data has a strong linear association, so it makes sense to use linear regression. (Always check the form of the scatter plot before using linear regression.) c. Copy the image and save it in the text box below. HTML Editorma B IYA - A - L E B ] ] ] X' X, BE V 1 12pt Paragraph - 0